Chatbot Analytics: Getting Started
We'll help you identify the major themes of analyzing and improving your chatbot.
Dimension Labs approach to analyzing your chatbot & improving your performance:
Whether you use a 3rd-party analytics provider or an in-house solution, you might find yourself staring at a dashboard full of numbers answering basic questions like “How many conversations...?” This data is just information.
Real insights come from answers to questions starting with “Why” or “How” – insights that drive action and propel your initiatives forward. In this documentation, it is our objective to help you visualize and understand the steps users take to achieve specific goals within your chatbot.
- Identify key user personas by segmentation, track success criteria, measure the effectiveness of your self service program, etc.
- Outline the stages users go through from onboarding to task completion, isolate flows by personas, identify common drop off points & easily analyze transcripts.
Task Completion Success vs Failure
- Highlight pain points and opportunities for improvement, identify user happy paths, create custom funnels, etc.
Self-Service Rates and Retention
- Assess how well users are retained over time, focusing on those who utilize self-service options, investigate fallback reasons, & more.
- Understand the critical signals that help identify, prioritize, and address issues within the bot, ultimately improving self-service rates.
Dive deeper into each area and transform your chatbot from a simple tool into a powerful asset. Whether you're looking to get started with your first chatbot or learn more as a chatbot product owner or team owner, you can discover the difference between data and actionable insights, and unlock the full potential of your chatbot today.
Updated about 1 month ago